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Haobo Fu

28 papers · 2021–2026 · 7 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+11 more ↓ πŸ—ΊοΈ Taxonomy Completionist (42) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ”¬ Deep Specialist (12) πŸ† Grand Slam πŸ‘‘ Triple Crown πŸ† Keyword Champion (6) 🀝 Dynamic Duo (27) 🌈 Renaissance Researcher (5) πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (115)

Venues

ICLR (8) ICML (5) NeurIPS (5) AAAI (4) IJCAI (3) UAI (2) CoRL (1)

Top co-authors

Qiang Fu (27) Kai Li (16) Junliang Xing (15) Jian Cheng (11) Weiming Liu (6) Yifan Zang (6) Shuang Wu (5) Bingyun Liu (5) Yang Wei (4) Jinmin He (4)

Research topics

Artificial Intelligence (22) Core AI (20) Machine Learning (19) Reinforcement Learning (14) Learning Types Β· Machine Learning (10) Methods (10) Optimization & Theory (9) Applications (7) Deep Learning (5) Mathematics & Optimization (4) Learning Types Β· Deep Learning (4) Optimization (4) Robotics (2) Learning Paradigms (2) Computer Science (1)

Keywords

imperfect information game (7) opponent modeling (6) counterfactual regret minimization (5) policy optimization (3) policy learning (3) multi-agent learning (3) in-context learning (3) nash equilibrium (3) multi-agent system (3) reinforcement learning (2) multi-task reinforcement learning (2) parameter sharing (2) evolutionary algorithm (2) regret bound (2) game theory (2) zero-sum game (2) multi-agent reinforcement learning (2) morphology design (2) evaluation framework (1) curriculum learning (1)

Papers

Deep (Predictive) Discounted Counterfactual Regret Minimization AAAI 2026 An Open-Ended Learning Framework for Opponent Modeling AAAI 2025 Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning ICLR 2025 Enhanced Equilibria-Solving via Private Information Pre-Branch Structure in Adversarial Team Games UAI 2025 Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning ICML 2025 MCU: An Evaluation Framework for Open-Ended Game Agents ICML 2025 Offline Opponent Modeling with Truncated Q-driven Instant Policy Refinement ICML 2025 Online-to-Offline RL for Agent Alignment ICLR 2025 Towards Provably Efficient Learning of Imperfect Information Extensive-Form Games with Linear Function Approximation UAI 2025 Dynamic Discounted Counterfactual Regret Minimization ICLR 2024 Efficient Multi-task Reinforcement Learning with Cross-Task Policy Guidance NeurIPS 2024 Maximum Entropy Heterogeneous-Agent Reinforcement Learning ICLR 2024 Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent IJCAI 2024 Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing AAAI 2024 Opponent Modeling with In-context Search NeurIPS 2024 Towards Offline Opponent Modeling with In-context Learning ICLR 2024 A Robust and Opponent-Aware League Training Method for StarCraft II NeurIPS 2023 Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning NeurIPS 2023 Curriculum-based Co-design of Morphology and Control of Voxel-based Soft Robots ICLR 2023 Multi-objective Optimization-based Selection for Quality-Diversity by Non-surrounded-dominated Sorting IJCAI 2023 Opponent-Limited Online Search for Imperfect Information Games ICML 2023 Policy Space Diversity for Non-Transitive Games NeurIPS 2023 PreCo: Enhancing Generalization in Co-Design of Modular Soft Robots via Brain-Body Pre-Training CoRL 2023 Quality-Similar Diversity via Population Based Reinforcement Learning ICLR 2023 Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game ICLR 2022 AutoCFR: Learning to Design Counterfactual Regret Minimization Algorithms AAAI 2022 Greedy when Sure and Conservative when Uncertain about the Opponents ICML 2022 Combining Tree Search and Action Prediction for State-of-the-Art Performance in DouDiZhu IJCAI 2021